Looking for a midlevel or senior IC to join the Systems team to manage the entire infrastructure fleet from the ground up, including storage clusters, compute, LL networking, and systems.
Locations (5)
United States
Boston, Massachusetts, United States
Salt Lake City, Utah, United States
San Francisco, California, United States
New York, New York, United States
Compensation
The base salary range for this role is $150,000–$230,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role.
Responsible for the end-to-end technical leadership and lifecycle management of a global data platform (datalake house) ensuring alignment with business needs, architecture standards, and operational resilience.
Responsibilities
Lead the technical design, development, and operational performance of the platform
Contribute to platform technical roadmap, including technology changes, modernisation, and decommissioning
Own and contribute to key deliverables including Solution Design, Security Concept, and Interface Agreements
Plan and coordinate application releases in line with Change- and Release Management processes
Supervise platform infrastructure and data development activities, promote “shift-left” practices (automation, unit testing, CI/CD)
Requirements
Higher Education in Computer Science (University, University of Applied Sciences or equivalent diploma)
Engineering Manager leading the Atlas Infinite Backup team, responsible for building and operating distributed storage systems, managing a team of engineers, and driving product roadmap and operational excellence.
Compensation
MongoDB’s base salary range for this role in the U.S. is: $137,000—$270,000 USD
Responsibilities
Lead, grow, and manage a team of 6 engineers working in Rust and Java on distributed storage systems
Own the team's roadmap across durability, recoverability, cost efficiency, and compliance
Drive the Atlas Infinite backup roadmap to GA and beyond
Manage customer escalations involving backup, restore, or backup cost
Partner closely with cross-team teams on incremental billing, collection-level restore, and cold collections
Support day-to-day operations and maintenance of high performance storage platforms and parallel file systems, applying DevOps practices to build and maintain scientific computing environments.
Responsibilities
Support day-to-day operations and maintenance across HPS platforms and parallel file systems
Apply a DevOps mindset to platform administration using automation tools, infrastructure-as-code, and CI/CD pipelines
Partner with internal customers and stakeholders across the service lifecycle
Collaborate with researchers to analyze and optimize scientific workflows and batch job submission patterns
Proactively identify, propose, and implement enhancements across technical systems and operational workflows
Requirements
Bachelor’s degree in Computer Science, IT, Engineering, or a related field
Lead an engineering team focused on building and scaling infrastructure, platforms, and tools for AI/ML systems, including large GPU clusters and Kubernetes platforms.
Compensation
The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 3; and 272,000 USD – 431,250 USD for Level 4.
Responsibilities
Lead, hire and grow a team of software and systems engineers, including senior and staff-level engineers and tech leads.
Lead a core part of the AI infrastructure platform end to end: its roadmap, architecture, reliability and on-call health.
Turn research needs into platform capabilities by working directly with model training teams.
Set clear ownership and decision rights for your area: named owners, written decisions, and clean interfaces to partner teams.
Drive engineering quality at fleet scale: automation over manual operations, observability built in, safe rollouts across many clusters.
Requirements
BS in Computer Science
MS in Computer Science
Computer Engineering
Nice to have: GPU clusters for AI training at scale
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Linux Systems Infrastructure Engineers — Multiple Clients
Please only apply if you have an intermediate to Senior level background in a large enterprise Linux environment, where you are working down to the kernel layer, in a massive data environment in a low latency environment.
I'm expanding my network of Systems Engineers with backgrounds in large-scale Linux infrastructure, cloud platforms, Kubernetes, high-performance computing, GPU environments, and distributed systems.
I'm especially interested in connecting with engineers who have worked with complex compute environments, infrastructure automation, large data platforms, advanced networking, research computing, or production-scale systems.
Relevant backgrounds may include:
• Linux Systems Engineering (down to the Kernal layer)
• Cloud Infrastructure
• Kubernetes / Container Platforms
• HPC and Research Computing
• GPU / AI Infrastructure
• Distributed Storage
• Python or Bash Automation
• High-Speed Networking
• Infrastructure Reliability
• Large-Scale Compute Clusters
Locations of interest on site could include the Manhattan NY, Houston TX, Montreal CA, Durham, NC, and Pittsburgh, PA markets.
Salary: Open, commensurate with experience. They will pay for extreme stand out talent.
If this matches your background, I'd be interested in connecting and learning more about the types of opportunities you would consider.
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